Real-time object detection based on uav remote sensing: A systematic literature review
Real-time object detection based on UAV remote sensing is widely required in different
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
scenarios. In the past 20 years, with the development of unmanned aerial vehicles (UAV) …
Machine learning for precision agriculture using imagery from unmanned aerial vehicles (uavs): A survey
Unmanned aerial vehicles (UAVs) are increasingly being integrated into the domain of
precision agriculture, revolutionizing the agricultural landscape. Specifically, UAVs are …
precision agriculture, revolutionizing the agricultural landscape. Specifically, UAVs are …
FedGKD: Towards Heterogeneous Federated Learning via Global Knowledge Distillation
Federated learning, as one enabling technology of edge intelligence, has gained substantial
attention due to its efficacy in training deep learning models without data privacy and …
attention due to its efficacy in training deep learning models without data privacy and …
A survey of unmanned aerial vehicles and deep learning in precision agriculture
In the wake of significant advances in agronomy, biology, informatics, agricultural robots
(Agri-robots), and artificial intelligence, modern agriculture is transforming from labor …
(Agri-robots), and artificial intelligence, modern agriculture is transforming from labor …
Invasion of the giant hogweed and the Sosnowsky's hogweed as a multidisciplinary problem with unknown future—A review
E Grzędzicka - Earth, 2022 - mdpi.com
Caucasian hogweeds are plants introduced to Europe from the Caucasus area. This review
concerns the two most common ones—the giant hogweed Heracleum mantegazzianum and …
concerns the two most common ones—the giant hogweed Heracleum mantegazzianum and …
LEOEdge: A satellite-ground cooperation platform for the AI Inference in Large LEO Constellation
With the rapid growth of low earth orbit (LEO) satellites, enabling LEO AI inference becomes
a fast-increasing trend. However, due to resource heterogeneity, scheduling complexity, and …
a fast-increasing trend. However, due to resource heterogeneity, scheduling complexity, and …
Energy-Efficient 3-D Data Collection forMulti-UAV Assisted Mobile Crowdsensing
Mobile CrowdSensing (MCS) is an emerging paradigm that employs massive mobile
devices (MDs) to complete sensing tasks cooperatively. To provide ubiquitous MCS …
devices (MDs) to complete sensing tasks cooperatively. To provide ubiquitous MCS …
Cotton stubble detection based on improved YOLOv3
Y Yang, J Li, J Nie, S Yang, J Tang - Agronomy, 2023 - mdpi.com
The stubble after cotton harvesting was used as the detection object to achieve the visual
navigation operation for residual film recovery after autumn. An improved (You Only Look …
navigation operation for residual film recovery after autumn. An improved (You Only Look …
Efficient and lightweight framework for real-time ore image segmentation based on deep learning
G Sun, D Huang, L Cheng, J Jia, C **ong, Y Zhang - Minerals, 2022 - mdpi.com
Image segmentation approaches have been utilized to determine the particle size
distribution of crushed ores in the past decades. It is not possible to deploy large and high …
distribution of crushed ores in the past decades. It is not possible to deploy large and high …
Sosnowskyi hogweed-based hard carbons for sodium-ion batteries
GP Lakienko, ZV Bobyleva, MO Apostolova… - Batteries, 2022 - mdpi.com
Sodium-ion battery technology rapidly develops in the post-lithium-ion landscape. Among
the variety of studied anode materials, hard carbons appear to be the realistic candidates …
the variety of studied anode materials, hard carbons appear to be the realistic candidates …